AI integrates into robotics by using advanced algorithms and machine learning techniques. It enhances perception through computer vision and sensor fusion, enabling robots to interpret visual and sensory data accurately. Decision-making improves with machine learning, allowing robots to learn from eRead more
AI integrates into robotics by using advanced algorithms and machine learning techniques. It enhances perception through computer vision and sensor fusion, enabling robots to interpret visual and sensory data accurately. Decision-making improves with machine learning, allowing robots to learn from experience and optimize actions via reinforcement learning. AI advances motion control by aiding in path planning and precise manipulation of objects. Additionally, natural language processing allows robots to understand and interact with human language, improving human-robot communication.
Benefits:
Efficiency: AI-driven robots perform complex tasks faster and with greater accuracy.
Autonomy: AI enables robots to operate independently in dynamic environments.
Adaptability: Robots learn and adapt to new tasks and conditions without explicit reprogramming.
Challenges:
Complexity: Developing and integrating sophisticated AI algorithms is technically demanding and resource-intensive.
Ethics and Security: Ensuring AI systems are ethical, safe, and secure from misuse is critical.
Reliability: AI models require extensive training data and validation to ensure consistent performance.
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Components & Working: A Tsunami Warning Centre operating on 24x7 basis. A network of land-based seismic stations for earthquake detection. A network of 12 Bottom Pressure Recorders (that could detect and measure a change in water level of 1 cm at water depths of up to 6 km of water). A network oRead more
Components & Working:
A Tsunami Warning Centre operating on 24×7 basis.
A network of land-based seismic stations for earthquake detection.
A network of 12 Bottom Pressure Recorders (that could detect and measure a change in water level of 1 cm at water depths of up to 6 km of water).
A network of tsunami buoy system it measures the change in height of the water column then this water column height is communicated and then relayed via satellite to the tsunami warning center.
Real-time observational network for upper ocean parameters and surface met-ocean parameters.
A network of 50 real time tide gauges, radar- based coastal monitoring stations and current meter moorings to monitor progress of tsunami and storm surges .
See lessThe EWS receives real-time Seismic data from the National Seismic Network the system detects all earthquake events of more than 6 Magnitude occurring in the Ocean . BPRs installed in the Deep Ocean and Buoys are the key sensors to confirm the triggering of Tsunami through INSAT end-to-end communication takes place and disseminate alerts to MHA by satellite- based virtual private network (VPN DMS). This network enables early warning center to disseminate warnings to the MHA, as well as to the State Emergency Operations Centers.